基于基因表达式编程的电子电路设计

Xuesong Yan, Wei Wei, R. Liu, Sanyou Zeng, Lishan Kang
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引用次数: 22

摘要

本文研究了基因表达编程(GEP)在进化电子学领域的应用。GEP是一种遗传算法,它使用个体群体,根据适应度选择个体,并使用一个或多个遗传算子引入遗传变异。本文提出了设计电路的新方法,并介绍了电路的编码方式:染色体、遗传算子和适应度函数。通过实例分析,证明了该方法的有效性,实验表明我们取得了较好的效果
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Designing Electronic Circuits by Means of Gene Expression Programming
This work investigates the application of gene expression programming (GEP) in the field of evolutionary electronics. GEP is a genetic algorithm as it uses populations of individuals, selects them according to fitness, and introduces genetic variation using one or more genetic operators. We propose the new means for designing electronic circuits and introduce the encoding of the circuit as a chromosome, the genetic operators and the fitness function. For the case studies this means has proved to be efficient, experiments show that we have better results
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